%0 Journal Article
%T Anchor-based large-scale ontologies partitioning and mapping<br>基于参考点的大规模本体分块与映射
%A LAI Y
%A WANG Run-mei
%A XU De-zhi
%A <br>赖　雅
%A 王润梅
%A 徐德智
%J 计算机应用研究
%D 2013
%I 
%X In order to solve the problem of low precision and low recall of large-scale ontology partitioning and mapping, this paper proposed a new anchor-based large-scale ontology partitioning and mapping method. This method used anchors to guide partitioning, and partitioned the two ontologies at the same time, which called co-clustering. Firstly, it preprocessed the two ontologies in order to normalize the entities's name and turn them into tree structure, then used some simple methods to find anchors. At last, the anchors acted cluster centers to cluster the concepts in both ontology trees, and found block mappings at the same time. Theoretical analysis and experimental results show that this method both solves the large-scale ontologeis mapping problem and achieves good precision and recall.
%K large-scale ontology
%K ontology mapping
%K anchors
%K co-clustering
%K block mapping<br>大规模本体
%K 本体映射
%K 参考点
%K 联合分块
%K 块映射
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=51EFA6F8AD100243701E22AC8E49C701&yid=FF7AA908D58E97FA&vid=340AC2BF8E7AB4FD&iid=0B39A22176CE99FB&sid=8F2250DA83AF77B8&eid=DCE57F652E4ADAFC&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9